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      SQL-like Language for Database Mining

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      Proceedings of the First East-European Symposium on Advances in Databases and Information Systems (ADBIS)

      Advances in Databases and Information Systems

      2-5 September 1997

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            Abstract

            Datamining, also referred to as databasemining or knowledge discovery in databases ( KDD ), is a new research area that aims at the discovery of useful information from large datasets. One of the most interesting and important research problems is discovering of different types of rules (e.g. association, characteristic, discriminant, etc.) from data. In this work we propose the new SQL-like language for datamining in relational databases, called Mine SQL, developed within the scope of the data mining research project led in Poznan University of Technology. MineSQL is the extension of industry standard SQL language developed for expressing rule queries and assisting a user in rule generation, storage and retrieval. We focus on the main features of the language, its syntax and semantics, illustrated by practical examples.

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            Author and article information

            Conference
            September 1997
            September 1997
            : 1-13
            Affiliations
            [0001]Institute of Computing Science, Poznań University of Technology

            Poznań, Poland
            Article
            10.14236/ewic/ADBIS1997.30
            6d6ecf89-49e1-48b5-805f-885504e5c610
            © Maciej Zakrzewicz et al. Published by BCS Learning and Development Ltd. Proceedings of the First East-European Symposium on Advances in Databases and Information Systems, (ADBIS'97), St Petersburg

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the First East-European Symposium on Advances in Databases and Information Systems
            ADBIS
            1
            St Petersburg
            2-5 September 1997
            Electronic Workshops in Computing (eWiC)
            Advances in Databases and Information Systems
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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